Evaluation metrics for image generation: Inception score [1]} [2]}is the evaluation method for generating images. The core idea of the method is: images contain meaningful objects should have a conditional label distribution \(p(y|x)\)  with low entropy, moreover, the model is expected to generate varied images, so the marginal \(\int p(y|x^{\prime } = G(z))dz\)  should have high entropy.Combining these two requirements, the evaluation is defined as \(exp(\mathbb {E}_{m} KL(p(X^{\prime }_{img}|m) || p(X_{img})))\) , where \(m\)  is the material representation vector.
